CHAI’s mission is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.

Highlights

The Prosocial Ranking Challenge – $60,000 in prizes for better social media algorithms

Do you wish you could test what would happen if people saw different content on social media? Now you can!

Prominent AI Scientists from China and the West Propose Joint Strategy to Mitigate Risks from AI

Ahead of the highly anticipated AI Safety Summit, leading AI scientists from the US, the PRC, the UK and other countries agreed on the importance of global cooperation and jointly called for research and policies to prevent unacceptable risks from advanced AI.

Human Compatible has been Reissued in the UK in 2023

On September 28th, 2023, Stuart Russell’s book “Human Compatible: AI and the Problem of Control” has been updated and reissued in UK.

ALMANACS: A Simulatability Benchmark for Language Model Explainability

How do we measure the efficacy of language model explainability methods? The authors of this paper present ALMANACS, a language model explainability benchmark that scores explainability methods on simulatability.

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